{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 大数据基础 - 上机实验\n",
    "\n",
    "### Course ID: UG_BGD_2024"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下方填写姓名和学号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Student_name = \"李卓\"\n",
    "Student_id = \"2335040120\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在`YOUR CODE HERE`及 \"YOUR ANSWER HERE\" 标注的位置补全代码。  \n",
    "作业提交后由程序自动评分，提交前应执行“Validate”进行代码自检"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "作业提交操作教程（首次作业需观看）：[https://www.bilibili.com/video/BV1dH4y1X7QG](https://www.bilibili.com/video/BV1dH4y1X7QG)\n",
    "\n",
    "作业提交网站：http://quiz.zhangys.org.cn\n",
    "\n",
    "登陆用户名：学号  \n",
    "**初始登陆密码为空，首次登陆后必须更改密码（不能与学号相同），否则无法下载题目和提交作业**  \n",
    "**不要修改文件名，提交的作业文件必须与题目文件同名，否则将影响机判**  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "鼓励学习交流，严禁照搬抄袭。  \n",
    "Peer review is encouraged; plagiarism is PROHIBITED.  \n",
    "如发现雷同作业，则抄袭者和被抄袭者当次作业均判为0分。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 线性回归示例\n",
    "\n",
    "## 重点展示：梯度下降法(GD)；PyTorch实现机器学习的基本流程\n",
    "\n",
    "\n",
    "Training a Linear Regression Model in PyTorch, source: https://machinelearningmastery.com/training-a-linear-regression-model-in-pytorch/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 使用你的学号的最后两位，作为理论回归方程的w（斜率）和b（截距）。如学号为 ...45，那么w=4，b=5。如果倒数第二位为0，设为1.   \n",
    "仿照第三章的linear regression代码，完成GD训练线性回归的例子。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "fcfb3372026b932c975b90b774fc6dc4",
     "grade": false,
     "grade_id": "cell-10a28ce1b2742b59",
     "locked": false,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import torch\n",
    " \n",
    "X = torch.arange(-4, 4, 0.1).view(-1, 1)\n",
    "# Y = ? # 此处生成模拟数据 Y = wX+b+noise，含高斯噪声\n",
    "\n",
    "# YOUR CODE HERE\n",
    "raise NotImplementedError()\n",
    "\n",
    "# Plot and visualizing the data points in blue\n",
    "plt.plot(X.numpy(), Y.numpy(), 'b+', label='Y')\n",
    "plt.xlabel('x')\n",
    "plt.ylabel('y')\n",
    "plt.legend()\n",
    "plt.grid('True', color='y')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "89b91b1498db099e5d197eb2c4ffeb3b",
     "grade": false,
     "grade_id": "cell-848a261da23f8e8d",
     "locked": false,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "# defining the function for forward pass for prediction\n",
    "def forward(x):\n",
    "    return w * x + b\n",
    " \n",
    "# evaluating data points with Mean Square Error.\n",
    "def criterion(y_pred, y):\n",
    "    return torch.mean((y_pred - y) ** 2)\n",
    " \n",
    "w = torch.tensor(-99.0, requires_grad=True)\n",
    "b = torch.tensor(-99.0, requires_grad=True)\n",
    "\n",
    "alpha = 0.1\n",
    "loss_list = []\n",
    "iter = 100\n",
    " \n",
    "for i in range (iter):    \n",
    "    # making predictions with forward pass\n",
    "    Y_pred = forward(X)\n",
    "    # calculating the loss between original and predicted data points\n",
    "    loss = criterion(Y_pred, Y)\n",
    "    # storing the calculated loss in a list\n",
    "    loss_list.append(loss.item())\n",
    "    # backward pass for computing the gradients of the loss w.r.t to learnable parameters\n",
    "    loss.backward()\n",
    "    \n",
    "    # updateing the parameters after each iteration\n",
    "    # YOUR CODE HERE\n",
    "    raise NotImplementedError()\n",
    "    \n",
    "    # priting the values for understanding\n",
    "    print('{}, \\t{}, \\t{}, \\t{}'.format(i, loss.item(), w.item(), b.item()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Plotting the loss after each iteration\n",
    "plt.plot(loss_list, 'r')\n",
    "plt.tight_layout()\n",
    "plt.grid('True', color='y')\n",
    "plt.xlabel(\"Epochs/Iterations\")\n",
    "plt.ylabel(\"Loss\")\n",
    "plt.show()\n",
    "\n",
    "print('The final model: ', 'Y = ', w.item() ,'X+', b.item()) "
   ]
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 绘制散点图，要求同时呈现真实值和预测值，如下：  \n",
    "![image.png](attachment:1dc7fbd2-761b-44da-b492-1a04e2ace09a.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "deletable": false,
    "nbgrader": {
     "cell_type": "code",
     "checksum": "5dfa4c256458b5c618926beaf67e7581",
     "grade": false,
     "grade_id": "cell-b7a715efe4289098",
     "locked": false,
     "schema_version": 3,
     "solution": true,
     "task": false
    }
   },
   "outputs": [],
   "source": [
    "# YOUR CODE HERE\n",
    "raise NotImplementedError()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
